Triple

T19269788
Position Surface form Disambiguated ID Type / Status
Subject Province of Capiz E481890 entity
Predicate hasMunicipality P847 FINISHED
Object Tapaz NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tapaz | Statement: [Province of Capiz, hasMunicipality, Tapaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tapaz
Context triple: [Province of Capiz, hasMunicipality, Tapaz]
  • A. Tapaz chosen
    Tapaz is a landlocked agricultural municipality in the province of Capiz on Panay Island in the Philippines, known for its rural landscapes and river valleys.
  • B. Tapalpa
    Tapalpa is a picturesque mountain town in the Mexican state of Jalisco, known for its colonial architecture, pine forests, and outdoor recreation.
  • C. Zapota
    Zapota is a metro station on Mexico City’s Line 12, serving passengers in the southeastern part of the city.
  • D. Tapiau
    Tapiau is a historic town in former East Prussia (now Gvardeysk in Russia’s Kaliningrad Oblast) known for its medieval origins and Teutonic Order connections.
  • E. Taperoo
    Taperoo is a coastal suburb in Adelaide, South Australia, known for its residential areas and proximity to Gulf St Vincent.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb74ec48190a58d96b4b5b9af00 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.